Data Engineer - Python, AI, SQL, ETL/Data Warehousing, NoSQL
Posted 2 weeks ago by Scope AT Limited
Negotiable
Undetermined
Undetermined
London, UK
Summary: The Data Engineer role focuses on leveraging Python and database manipulation skills to work within the AI domain. Candidates should have experience with SQL, ETL/data warehousing, and NoSQL databases. The position also values familiarity with cloud services and data modeling for NLP and LLM tasks. This role is based in London, UK, and offers a negotiable salary.
Key Responsibilities:
- Utilize Python for database connection and manipulation tasks.
- Implement ETL processes and manage data warehousing solutions.
- Work with NoSQL databases such as DB2 and MongoDB.
- Design and optimize data models for NLP and LLM tasks.
- Integrate data from APIs and Data Lakes.
Key Skills:
- Proficiency in Python.
- Experience with SQL.
- Knowledge of ETL/data warehousing.
- Familiarity with NoSQL databases (DB2, MongoDB).
- Understanding of cloud services (AWS, Google Cloud, IBM Cloud).
- Experience with AWS Bedrock, Google BigQuery, and Dataflow.
- Ability to design and optimize data models.
- Data integration skills.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Engineer - Python, AI, SQL, ETL/Data Warehousing, NoSQL
We are looking for a new Data Engineer with exposure to the AI space. The resource needs to have experience with Python and connecting to and manipulating databases using python - so be able insert, update, select etc.
Required skills:
- Python
- SQL
- ETL/data warehousing
- NoSQL (DB2, MongoDB)
Good to have:
- Graph Databases
- Cloud Service Proficiency (AWS, Google Cloud, IBM Cloud)
- AWS Bedrock/Google BigQuery/Dataflow
- Design and optimize data models for NLP and LLM tasks
- Data integration (From APIs and Data Lakes)
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